M.Tech (Computer Science & Engineering)

The M.Tech in Computer Science and Engineering (CSE) program at Quantum University, one of the top engineering colleges in India, is a specialized postgraduate program designed to equip students with in-depth knowledge and skills in advanced areas of computer science. With rapid advancements in technologies like artificial intelligence (AI), big data analytics, and cybersecurity, this program caters to students aspiring to stay at the forefront of technological innovation and research.

The curriculum offers a balanced mix of theoretical foundations and practical applications, covering topics such as advanced algorithms, machine learning, cloud computing, blockchain technologies, and high-performance computing. Students gain hands-on experience through real-world projects, research collaborations, and state-of-the-art labs. The program also emphasizes trending fields like AI-driven applications, IoT systems, and secure computing, enabling graduates to develop cutting-edge solutions for contemporary challenges in the technology domain.

With a focus on fostering innovation and critical thinking, the program is ideal for students who want to pursue research-driven careers or specialize in high-demand roles within the IT sector, tech startups, and global tech firms. By collaborating with industry experts and engaging in projects with real-world relevance, students at Quantum University are prepared to excel in roles such as software architects, research scientists, data engineers, and cybersecurity specialists. The university's commitment to practical learning and industry alignment ensures that graduates are future-ready and equipped to contribute significantly to the digital transformation landscape in India and beyond.

Specialized Curriculum

Master advanced topics such as machine learning, cloud computing, blockchain development, data analytics, and cybersecurity frameworks.

Research Opportunities

Engage in innovative research projects addressing challenges in AI systems, secure networks, and big data processing.

Industry-Relevant Skills

Develop expertise in trending technologies like deep learning, IoT development, and secure application design, aligned with the needs of the Indian tech industry.

Career Opportunities

Graduates can pursue roles as software architects, machine learning engineers, cybersecurity analysts, data engineers, and research scientists in top companies and research institutions globally.

Program Overview

The M.Tech in Computer Science and Engineering (CSE) program provides students with the skills and knowledge to tackle complex challenges in the ever-evolving field of computer science. With a curriculum that emphasizes advanced problem-solving, technical innovation, and research-driven learning, students are prepared to address pressing issues in areas like AI development, data privacy, and high-performance computing.

Through industry collaborations, state-of-the-art labs, and internships, students gain hands-on experience in technologies like cloud platforms, blockchain systems, and machine learning frameworks. The program also focuses on applying theoretical knowledge to real-world scenarios, fostering creativity and innovation.

Graduates from Quantum University emerge as industry-ready professionals capable of thriving in India's fast-growing IT ecosystem and contributing to global advancements in digital technologies. Recognized as one of the leading universities in India, Quantum University ensures that its graduates are equipped with both technical expertise and innovative problem-solving skills, making them valuable assets to the technology industry.

Program Structure

The M.Tech in Computer Science and Engineering (CSE) at Quantum University is a 2-year postgraduate program designed to provide in-depth technical knowledge and advanced research skills in the field of computer science. The program is structured across core subjects, electives, interdisciplinary courses, skill-based modules, and project components, with a focus on both academic rigor and practical application.

This program builds on foundational knowledge and offers specialized training in areas such as advanced algorithms, distributed systems, artificial intelligence, data science, cloud computing, cybersecurity, and software engineering. Emphasis is placed on research-based learning, problem-solving, and innovation, equipping students to address complex computing challenges across industry and academia.

Students benefit from hands-on labs, advanced toolkits, industry-recognized certifications, and expert-led sessions, ensuring practical exposure alongside theoretical understanding. Technologies and platforms used in the program include Python, Java, Hadoop, TensorFlow, Kubernetes, AWS, and advanced analytics tools, depending on the elective path chosen.

The curriculum also includes seminars, workshops, and research assignments, along with a minor project in the first year and a major dissertation or industry project in the second year, often carried out under the mentorship of faculty or industry professionals. This well-rounded structure ensures that graduates are well-equipped for research roles, advanced technical positions, or doctoral studies in cutting-edge areas of computer science.

Teaching & Assessment

The Teaching & Assessment approach for the M.Tech in Computer Science and Engineering (CSE) at Quantum University is designed to foster advanced technical expertise, research capability, and problem-solving skills. The pedagogy integrates deep theoretical foundations with research-oriented and industry-relevant practices, preparing students for leadership roles in academia, research, and high-end technology domains.

Teaching methods include advanced lectures, research seminars, lab-based experimentation, coding workshops, webinars, and expert sessions, delivered by experienced faculty and industry professionals. Students work on cutting-edge tools and technologies such as Python, Java, TensorFlow, Hadoop, Kubernetes, and cloud platforms like AWS and Azure, depending on their chosen specialization areas. The curriculum encourages the application of knowledge through real-world problem-solving, algorithm design, system modeling, and collaborative research projects.

The assessment framework is designed to evaluate both academic understanding and applied research competence. It includes research papers, written assignments, programming tasks, lab experiments, technical presentations, mid-term and end-term exams, and case study reviews. A major component is the M.Tech dissertation/project, where students undertake an individual research or industry project under faculty or external mentorship. This rigorous and comprehensive teaching and evaluation model ensures graduates are equipped for advanced roles in research labs, academic institutions, or high-technology industries, or for pursuing doctoral studies (Ph.D.) in specialized domains of computer science.

Curriculum

Advanced Discrete Structure
Advanced Design and Analysis ofAlgorithm
Computer Network and DistributedSystems
Advanced Operating Systems
Advanced Computer Architecture
Advanced Operating Systems Lab
Seminar I
General Proficiency

Advanced Data Base ManagementSystem
Advanced Data Base ManagementSystem Lab
DSE-I
DSE-II
DSE-III
Seminar II
General Proficiency

DSE-IV
DSE-V
Final Project
Advanced Research Methodology
Research Methodology Lab
Seminar III
General Proficiency

Final Dissertation

Program Outcomes

Program Educational Objectives (PEO's)

PEO1

Analyze ans solve computer science and engineering problems using modem engineering tools in industry or in research establishments.

PEO2

Play key role in collaborative multidisciplinary scientific research with due onsideration to economical and financial factors for leading a successful career in industry or to pursue higher education or being an entrepreneure.

PEO3

Engage in life-long learning with professional code of conduct.

Program Specific Outcomes (PSO's)

PSO1

Apply Knowledge of engineering fundamentals to analyze and solve complex computer ecience and engineering problems.

PSO2

Provide engineering solutions to meet the specified needs with appropriate consideration for comfort, safety, social and environmental aspects.

Program Outcomes (PO's)

PO-01

Engineering Knowledge: Exhibit in-depth knowledge in computer engineering specialization.

PO-02

Problem Analysis: Think critically and analyze complex engineering problems to make creative advances in theory and practice..

PO-03

Design/Development of Solutions: An ability to design solutions for engineering problems and to design a component, system, or process that meet the specified needs with appropriate consideration for the public health and safety, along with the cultural, societal, and environmental considerations.

PO-04

Conduct Investigations of Complex Problems: Use research methodologies, techniques and tools, and will contribute to the development of technological knowledge.

PO-05

Modern tool usage: Apply appropriate techniques, modern engineering tools to perform modeling of complex engineering problems with knowing the limitations.

PO-06

The Engineer and Society: Achieve professional success with an understanding and appreciation of ethical behavior, social responsibility, and diversity, both as individuals and in team environments.

PO-07

Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge for sustainable development to articulate a comprehensive world view that integrates diverse approaches to sustainability

PO-08

Communication: Communicate complex engineering problems with the engineering community and society, write and present technical reports effectively

PO-09

Ethics: Exhibit professional and intellectual integrity, ethics of research and scholarship and will realize the responsibility towards the community

PO-10

Individual and Team work: An ability to analyze the local and global impact of computing on individuals, organizations, and society.

PO-11

Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply the same with due consideration to economical and financial factors.

PO-12

Life-long learning: Engage in life-long learning with a high level of enthusiasm and commitment to improve knowledge and competence continuously

Minor Degree Programs

At Quantum University, students have the freedom to expand their academic horizons beyond their core area of study. Through minor programs, they can choose courses from related or entirely different disciplines, encouraging interdisciplinary learning and personal growth. This flexible approach empowers students to design a well-rounded education, explore new interests, and develop diverse skill sets that prepare them for dynamic career opportunities.

Some of the MINOR Degrees being offered are:

Entrepreneurship & Startups
Foreign languages (French)
Media Management
Financial Literacy
Robotics & Automation
Microsoft Office
Culinary Arts
Data Analytics
Web Designing

Explore More

Experiential Learning

Experiential Learning in M.Tech Programs Quantum University's 2-year M.Tech programs offer an advanced and immersive educational experience, equipping students with cutting-edge technical expertise and research skills to excel in their specialized domains. Designed for engineering graduates seeking in-depth knowledge and career advancement, the programs focus on innovation, problem-solving, and industry-relevant skills. With specializations such as Artificial Intelligence & Machine Learning, Data Science, Cybersecurity, Robotics & Automation, VLSI Design, and Power Systems, the M.Tech programs prepare students to become experts and leaders in their respective fields.

Advanced Research Projects

M.Tech students engage in advanced research projects in collaboration with faculty and industry partners. These projects focus on solving real-world challenges in specialized fields such as AI, renewable energy systems, robotics, and semiconductor technologies. Research work often leads to publications in reputed journals and conferences, fostering innovation and contributing to the body of knowledge in emerging technologies.

Industry-Centric Internships

Quantum University's strong industry collaborations enable M.Tech students to undertake internships with leading organizations in their respective fields. These internships provide hands-on exposure to cutting-edge technologies, tools, and methodologies, allowing students to bridge the gap between theoretical knowledge and practical application. Special focus is placed on domains like IoT, cloud computing, advanced power systems, and cybersecurity, helping students gain valuable industry insights and build professional networks.

Specialized Workshops & Certifications

The M.Tech programs emphasize skill development through industry-driven workshops and certification programs. Conducted by experts from academia and industry, these workshops cover advanced topics such as deep learning, blockchain technology, advanced robotics, and smart grids. Certification courses in tools like MATLAB, TensorFlow, and CAD software provide students with the technical proficiency required to excel in their chosen specialization.

Thesis & Capstone Projects

The culmination of the M.Tech program involves a thesis or capstone project, where students address a critical issue or explore an advanced research topic in their field of specialization. These projects, often guided by faculty mentors and industry experts, require students to apply their theoretical knowledge and technical skills to design innovative and impactful solutions.

Research Collaborations & Publications

M.Tech students at Quantum University have access to state-of-the-art research facilities and opportunities to collaborate on interdisciplinary research projects. Many students contribute to high-impact publications in areas like nanotechnology, artificial intelligence, power systems, and telecommunications, furthering their academic and professional credentials.

Outstanding Career Outcomes

Our graduates are in high demand across top engineering companies and innovative startups

LPAHIGHEST PACKAGE OFFERED
NUMBER OF COMPANIES VISITED
NUMBER OF STUDENTS PLACED
LPAAVERAGE PACKAGE OFFERED

Career Tracks

Software Architect

System-level software design and integration.

Data Scientist

Advanced data modeling, analytics, and machine learning applications.

Research Engineer

AI, algorithm optimization, and emerging technologies research.

Cloud Solutions Architect

Designing and deploying scalable cloud-based applications.

Entrepreneurship

Comprehensive Skill Development: At Quantum University, the teaching methodology includes extensive Skill Development Courses (SKCs) designed to equip students with the necessary skills to start their own ventures.

Entrepreneurial and Leadership Opportunities: Quantum University is providing ample opportunities to students to start their own ventures. More than 100 Start-ups are in progress.

Networking and Career Success: Quantum University fosters strong industry connections and real-world exposure, enabling students to build professional networks and unlock rewarding career opportunities.

Higher Studies

Master’s Programs: Quantum University offers a range of industry-relevant master's programs designed to deepen academic knowledge, enhance professional skills, and prepare students for leadership roles in their chosen fields.

Ph.D. Opportunities: Quantum University offers rigorous Ph.D. programs that foster advanced research, innovation, and academic excellence. With expert mentorship, interdisciplinary collaboration, and access to cutting-edge resources, scholars are empowered to contribute meaningful insights to their fields.

Networking and Career Success: Students benefit from a strong ecosystem of industry partnerships, alumni networks, and career development support. Regular workshops, internships, expert talks, and placement drives help students build valuable connections and achieve long-term career success.

Mentors Who Shape Futures

Dr. Himanshu Tyagi

Assistant Professor

Profile

Dr. Amrita Kumari

Assistant Professor

Profile

Dr. Md. Iqbal

Professor

Profile

Dr. Brij Mohan Singh

Professor

Profile

Dr. Satender Kumar

Associate Professor

Profile

Dr. Mridula

Professor

Profile

Dr. Raj Kumar

Assistant Professor

Profile

Dr. Anuj Kumar

Assistant Professor

Profile

Ankur Rana

Assistant Professor

Profile

Deepak Bhatt

Assistant Professor

Profile

Labs

Internet Lab

Computer Applications Lab

Database Management System Lab

Data Structure Lab

Design and Analysis of Algorithms Lab

AK Khare Interdisciplinary Center of Excellence in AI

Object Oriented Programming Lab

Open Source Lab

Operating System Lab

Python Programming Lab

Explore More

Research Highlights

Quantum University fully supports and encourages interdisciplinary research initiatives across different areas of study.

+Paper Publications
+Patents
+Startup Grants

Industry -Academic Collaborations

Quantum University has partnerships with over 150 industry leaders, providing students with valuable practical experience and exposure to current industry trends. Companies offer internships, real-world projects, and job opportunities to over 900 students annually at the best packages.